University of Kassel Knowledge & Data Engineering Group

Fachgebiet Wissensverarbeitung (KDE), EECS, Universität Kassel

Das Fachgebiet Wissensverarbeitung im FB 16 – Elektrotechnik/Informatik (EECS) wurde im Zusammenhang mit der Einführung des Studiengangs Informatik in der Forschungs- und Lehreinheit Informatik neu gegründet, und startete zum 1. April 2004 mit der Einrichtung einer Stiftungsprofessur der Gemeinnützigen Hertie-Stiftung. Das Fachgebiet Wissensverarbeitung (Knowledge & Data Engineering) beschäftigt sich mit der organisatorischen und technischen Unterstützung von Wissensprozessen im WWW. Wir arbeiten an dem allgegenwärtigen Web (Ubiquitous Web), in dem das benutzergenerierte Wissen des Web 2.0 und Beobachtungen der räumlich-zeitlichen und sozialen Umwelt der Anwender integriert, mit Methoden der Wissensentdeckung angereichert, und im Semantic Web formalisiert werden, um Anwendungen anbieten zu können, die den Mensch in all seinen Lebensbereichen umfassend unterstützen. Das Fachgebiet Wissensverarbeitung ist Mitglied im Wissenschaftlichen Zentrum für Informationstechnik-Gestaltung (ITeG) der Universität Kassel, im Wissenschaftlichen Zentrum INCHER der Universität Kassel und im Forschungszentrum L3S

Testen Sie unser Social-Bookmark-System BibSonomy sowie unsere Namens-Suchmaschine Nameling!

In Kooperation mit der Universitätsbibliothek entwickeln wir das Akademische Publikationsmanagementsystem PUMA. PUMA wird von mehreren Universitäten eingesetzt. Die Kasseler Installation erreichen Sie unter puma.uni-kassel.de.

Unsere neusten Publikationen

  • Hanika, T., Kibanov, M., Kropf, J., Laser, S.: Ich denke, es ist wichtig zu verstehen, warum die Netzwerkanalyse jetzt populär und besonders interessant für die Forschung geworden ist. In: Kropf, J. and Laser, S. (eds.) Digitale Bewertungspraktiken. p. 165--188. Springer (2019).
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  • Hanika, T., Marx, M., Stumme, G.: Discovering Implicational Knowledge in Wikidata, http://arxiv.org/abs/1902.00916, (2019).
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  • Doerfel, S., Hanika, T., Stumme, G.: Clones in Graphs. In: Ceci, M., Japkowicz, N., Liu, J., Papadopoulos, G.A., and Ras, Z.W. (eds.) ISMIS. pp. 56-66. Springer (2018).
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  • Hanika, T., Schneider, F.M., Stumme, G.: Intrinsic Dimension of Geometric Data Sets, http://arxiv.org/abs/1801.07985, (2018).
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  • Schmidt, A., Stumme, G.: Prominence and Dominance in Networks. In: Faron Zucker, C., Ghidini, C., Napoli, A., and Yannick, T. (eds.) Proceedings of the 21th International Conference on Knowledge Engineering and Knowledge Management (EKAW). pp. 370-385. Springer (2018).
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  • Schäfermeier, B., Hanika, T., Stumme, G.: Distances for WiFi Based Topological Indoor Mapping, http://arxiv.org/abs/1809.07405, (2018).
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  • Thiele, L., Atzmueller, M., Stumme, G., Kauffeld, S.: Frequently and/or Durable? The Predictive Impact of Initial Face-to-Face Contacts on the Formation and Evolution of Developmental Peer Network Relationships. Psychology. (2018).
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  • Felde, M., Hanika, T.: Formal Context Generation using Dirichlet Distributions. CoRR. abs/1809.11160, (2018).
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  • Atzmueller, M., Thiele, L., Stumme, G., Kauffeld, S.: Analyzing Group Interaction on Networks of Face-to-Face Proximity using Wearable Sensors. Proc. IEEE International Conference on Future IoT Technologies. IEEE Press, Boston, MA, USA (2018).
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  • Hanika, T., Koyda, M., Stumme, G.: Relevant Attributes in Formal Contexts. CoRR. abs/1812.08868, (2018).
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  • Kibanov, M., Becker, M., Müller, J., Atzmueller, M., Hotho, A., Stumme, G.: Adaptive kNN Using Expected Accuracy for Classification of Geo-Spatial Data. Proc. 33rd ACM Symposium On Applied Computing. ACM Press, New York, NY, USA (2018).
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  • Navarro Bullock, B., Hotho, A., Stumme, G.: Accessing Information with Tags: Search and Ranking. In: Brusilovsky, P. and He, D. (eds.) Social Information Access: Systems and Technologies. p. 310--343. Springer International Publishing, Cham (2018).
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  • Hanika, T., Schneider, F.M., Stumme, G.: Intrinsic dimension of concept lattices. CoRR. abs/1801.07985, (2018).
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  • Doerfel, S., Hanika, T., Stumme, G.: Clones in Social Networks. CoRR. abs/1802.07849, (2018).
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  • Atzmueller, M., Becker, M., Molino, A., Mueller, J., Peters, J., Sirbu, A.: Applications for Environmental Sensing in EveryAware. In: Loreto, V., Haklay, M., Hotho, A., Servedio, V.D.P., Stumme, G., Tria, F., and Theunis, J. (eds.) Participatory Sensing, Opinions and Collective Awareness. Springer Verlag, Heidelberg, Germany (2017).
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  • Gautama, S., Atzmueller, M., Kostakos, V., Gillis, D., Hosio, S.: Observing Human Activity Through Sensing. In: Loreto, V., Haklay, M., Hotho, A., Servedio, V.D.P., Stumme, G., Tria, F., and Theunis, J. (eds.) Participatory Sensing, Opinions and Collective Awareness. Springer Verlag, Heidelberg, Germany (2017).
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  • Atzmueller, M., Becker, M., Mueller, J.: Collective Sensing Platforms. In: Loreto, V., Haklay, M., Hotho, A., Servedio, V.D.P., Stumme, G., Tria, F., and Theunis, J. (eds.) Participatory Sensing, Opinions and Collective Awareness. Springer Verlag, Heidelberg, Germany (2017).
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  • Kibanov, M., Stumme, G., Amin, I., Lee, J.G.: Mining social media to inform peatland fire and haze disaster management. Social Network Analysis and Mining. 7, 30 (2017).
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  • Atzmueller, M., Thiele, L., Stumme, G., Kauffeld, S.: Contact Patterns, Group Interaction and Dynamics on Socio-Behavioral Multiplex Networks. Proc. Annual Machine Learning Conference of the Benelux (Benelearn 2017). Eindhoven University of Technology, Eindhoven, The Netherlands (2017).
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  • Mueller, J., Stumme, G.: Predicting Rising Follower Counts on Twitter Using Profile Information. 9th International ACM Web Science Conference 2017 (WebSci 2017), Troy, NY, USA, June 26-28, 2017. Accepted for Publication. ACM, New York, NY, USA (2017).
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  • Atzmueller, M., Schmidt, A., Kloepper, B., Arnu, D.: HypGraphs: An Approach for Analysis and Assessment of Graph-Based and Sequential Hypotheses. New Frontiers in Mining Complex Patterns. Postproceedings NFMCP 2016. Springer Verlag, Berlin/Heidelberg, Germany (2017).
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  • Thiele, L., Sauer, N.C., Atzmueller, M., Kauffeld, S.: The Co-Evolution of Career Aspirations and Peer Relationships in Psychology Bachelor Students: A Longitudinal Social Network Study. Journal of Vocational Behavior. (2017).
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  • Kanawati, R., Atzmueller, M.: Mining Attributed Networks, https://www.kde.cs.uni-kassel.de/atzmueller/paper/atzmueller-dsaa17-abstract.pdf, (2017).
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  • Folmer, J., Kirchen, I., Trunzer, E., Vogel-Heuser, B., Pötter, T., Graube, M., Heinze, S., Urbas, L., Atzmueller, M., Arnu, D.: Challenges for Big and Smart Data in Process Industries. atp edition. 01-02, (2017).
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  • Atzmueller, M.: Exceptional Model Mining in Ubiquitous and Social Environments. Proc. Annual Machine Learning Conference of the Benelux (Benelearn 2017). Eindhoven University of Technology, Eindhoven, The Netherlands (2017).
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  • Atzmueller, M.: Community Detection and Analysis on Attributed Social Networks. Encyclopedia of Social Network Analysis and Mining. Springer, Heidelberg, Germany (2017).
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  • Atzmueller, M., Sternberg, E.: Mixed-Initiative Feature Engineering Using Knowledge Graphs. Proc. 9th International Conference on Knowledge Capture (K-CAP). ACM Press, New York, NY, USA (2017).
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  • Atzmueller, M.: Onto Explicative Data Mining: Exploratory, Interpretable and Explainable Analysis. Proc. Dutch-Belgian Database Day. TU Eindhoven, Netherlands (2017).
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  • Knoell, D., Atzmueller, M., Rieder, C., Scherer, K.P.: A Scalable Framework for Data-Driven Ontology Evaluation. Proc. GWEM 2017, co-located with 9th Conference Professional Knowledge Management (WM 2017). KIT, Karlsruhe, Germany (2017).
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  • Atzmueller, M.: Descriptive Community Detection. In: Missaoui, R., Obiedkov, S., and Kuznetsov, S. (eds.) Formal Concept Analysis in Social Network Analysis. Springer Verlag, Berlin/Heidelberg, Germany (2017).
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  • Atzmueller, M., Arnu, D., Schmidt, A.: Anomaly Detection and Structural Analysis in Industrial Production Environments. Proc. International Data Science Conference (IDSC 2017). , Salzburg, Austria (2017).
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  • Atzmueller, M., Arnu, D., Schmidt, A.: Anomaly Analytics and Structural Assessment in Process Industries. Proc. Annual Machine Learning Conference of the Benelux (Benelearn 2017). Eindhoven University of Technology, Eindhoven, The Netherlands (2017).
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  • Atzmueller, M., Hayat, N., Schmidt, A., Klöpper, B.: Explanation-Aware Feature Selection using Symbolic Time Series Abstraction: Approaches and Experiences in a Petro-Chemical Production Context. Proc. IEEE International Conference on Industrial Informatics (INDIN). IEEE Press, Boston, MA, USA (2017).
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  • Atzmueller, M., Chin, A., Janssen, F., Schweizer, I., Trattner, C. eds: Big Data Analytics in the Social and Ubiquitous Context. Springer Verlag, Heidelberg, Germany (2016).
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  • Knoell, D., Atzmueller, M., Rieder, C., Scherer, K.P.: BISHOP – Big Data Driven Self-Learning Support for High-performance Ontology Population. Proc. LWA 2016 (FGWM Special Track). University of Potsdam, Potsdam, Germany (2016).
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  • Atzmueller, M., Mollenhauer, D., Schmidt, A.: Big Data Analytics Using Local Exceptionality Detection. Enterprise Big Data Engineering, Analytics, and Management. IGI Global, Hershey, PA, USA (2016).
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  • Atzmueller, M., Hanika, T., Stumme, G., Schaller, R., Ludwig, B.: Social Event Network Analysis: Structure, Preferences, and Reality. Proc. IEEE/ACM ASONAM. IEEE Press, Boston, MA, USA (2016).
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  • Mueller, J., Stumme, G.: Gender Inference using Statistical Name Characteristics in Twitter. 5th ASE International Conference on Social Informatics (SocInfo 2016), Union, NJ, USA, August 15-17, 2016. Proceedings. p. 47:1--47:8. ACM, New York, NY, USA (2016).
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  • Atzmueller, M., Ernst, A., Krebs, F., Scholz, C., Stumme, G.: Formation and Temporal Evolution of Social Groups During Coffee Breaks. Postproceedings of the International Workshops MUSE & SenseML 2014, Nancy, France, and MSM 2014, Seoul, Korea. Springer Verlag, Heidelberg, Germany (2016).
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  • Atzmueller, M., Thiele, L., Stumme, G., Kauffeld, S.: Analyzing Group Interaction and Dynamics on Socio-Behavioral Networks of Face-to-Face Proximity. Proc. ACM Conference on Pervasive and Ubiquitous Computing Adjunct Publication. ACM Press, New York, NY, USA (2016).
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  • Atzmueller, M., Kloepper, B., Mawla, H.A., Jäschke, B., Hollender, M., Graube, M., Arnu, D., Schmidt, A., Heinze, S., Schorer, L., Kroll, A., Stumme, G., Urbas, L.: Big Data Analytics for Proactive Industrial Decision Support: Approaches & First Experiences in the Context of the FEE Project. atp edition. 58, (2016).
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  • Zoller, D., Doerfel, S., Jäschke, R., Stumme, G., Hotho, A.: Posted, visited, exported: Altmetrics in the social tagging system BibSonomy. Journal of Informetrics. 10, 732 - 749 (2016).
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  • Schmidt, A., Atzmueller, M., Stumme, G.: The FEE Project: Introduction and First Insights. Proc. UIS Workshop (2015).
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  • Kibanov, M., Atzmueller, M., Illig, J., Scholz, C., Barrat, A., Cattuto, C., Stumme, G.: Is Web Content a Good Proxy for Real-Life Interaction? A Case Study Considering Online and Offline Interactions of Computer Scientists (Poster), http://www.gesis.org/css-wintersymposium/program/poster-sessions-presentations/, (2015).
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  • Atzmueller, M., Kibanov, M., Scholz, C., Mueller, J., Stumme, G.: Conferator – A Ubiquitous System for Enhancing Social Networking at Conferences. Proc. UIS Workshop (2015).
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  • Atzmueller, M., Kibanov, M., Hayat, N., Trojahn, M., Kroll, D.: Adaptive Class Association Rule Mining for Human Activity Recognition. In: Atzmueller, M. and Lemmerich, F. (eds.) Proceedings of the International Workshop on Mining Ubiquitous and Social Environments (MUSE2015). , Porto, Portugal (2015).
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  • Kibanov, M., Amin, I., Lee, J.G.: Supporting Peat Fire Management using Social Media, (2015).
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  • Kibanov, M.: Mining Groups Stability in Ubiquitous and Social Environments: Communities, Classes and Clusters. In: Cheng, X., Li, H., Gabrilovich, E., and Tang, J. (eds.) Proceedings of the Eighth ACM International Conference on Web Search and Data Mining. p. 441--446. ACM, Shanghai, China (2015).
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  • Kibanov, M., Atzmueller, M., Illig, J., Scholz, C., Barrat, A., Cattuto, C., Stumme, G.: Is Web Content a Good Proxy for Real-Life Interaction? A Case Study Considering Online and Offline Interactions of Computer Scientists. Proceedings of the 2015 ACM/IEEE International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2015, Paris, France, August 25-28, 2015 (2015).
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  • Sîrbu, A., Becker, M., Caminiti, S., De Baets, B., Elen, B., Francis, L., Gravino, P., Hotho, A., Ingarra, S., Loreto, V., Molino, A., Mueller, J., Peters, J., Ricchiuti, F., Saracino, F., Servedio, V.D.P., Stumme, G., Theunis, J., Tria, F., Van den Bossche, J.: Participatory Patterns in an International Air Quality Monitoring Initiative. PLOS ONE. 10, e0136763 (2015).
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  • Doerfel, S., Jäschke, R., Stumme, G.: The Role of Cores in Recommender Benchmarking for Social Bookmarking Systems. Transactions on Intelligent Systems and Technology. (2015).
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  • Zoller, D., Doerfel, S., Jäschke, R., Stumme, G., Hotho, A.: On Publication Usage in a Social Bookmarking System. Proceedings of the 2015 ACM Conference on Web Science. p. 67:1--67:2. ACM, Oxford, United Kingdom (2015).
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  • Scholz, C., Atzmueller, M., Kibanov, M., Stumme, G.: Predictability of Evolving Contacts and Triadic Closure in Human Face-to-Face Proximity Networks. Journal of Social Network Analysis and Mining. 4, (2014).
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  • Mitzlaff, F., Doerfel, S., Hotho, A., Jäschke, R., Mueller, J.: Summary of the 15th Discovery Challenge: Recommending Given Names. 15th Discovery Challenge of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2013, Prague, Czech Republic - Sctober 27, 2013. Proceedings. p. 7--24. CEUR-WS, Aachen, Germany (2014).
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  • Macek, B.-E., Atzmueller, M., Stumme, G.: Predicting the Stability of User Interaction Ties in Twitter. Proc. I-KNOW 2014. ACM Press, New York, NY, USA (2014).
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  • Scholz, C., Illig, J., Atzmueller, M., Stumme, G.: On the Predictability of Talk Attendance at Academic Conferences (Extended Abstract). Proc. LWA 2014 (KDML Special Track). RTWH Aachen University, Aachen, Germany (2014).
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  • Becker, M., Hotho, A., Mueller, J., Kibanov, M., Atzmueller, M., Stumme, G.: Subjective vs. Objective Data: Bridging the Gap, http://www.gesis.org/en/events/css-wintersymposium/poster-presentation/, (2014).
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  • Becker, M., Caminiti, S., Fiorella, D., Francis, L., Gravino, P., Haklay, M. (M.), Hotho, A., Loreto, V., Mueller, J., Ricchiuti, F., Servedio, V.D.P., Sîrbu, A., Tria, F.: Awareness and Learning in Participatory Noise Sensing. PLOS ONE. 8, e81638 (2013).
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  • Scholz, C., Atzmueller, M., Kibanov, M., Stumme, G.: How Do People Link? Analysis of Contact Structures in Human Face-to-Face Proximity Networks. In: Rokne, J.G. and Faloutsos, C. (eds.) Proceedings of the 2013 ACM/IEEE International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2013, Niagara Falls, Canada, August 25-28, 2013. p. 356--363. ACM, New York, NY, USA (2013).
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  • Atzmueller, M., Bobek, S., Kibanov, M., Nalepa, G.J.: Towards the Ambient Classroom: An Environment for Enhancing Collaborative Educational Processes. In: Roth-Berghofer, T., Oussena, S., and Atzmueller, M. (eds.) Proceedings of the Smart University Workshop, SmartUni 2013 -- International and Interdisciplinary Conference on Modeling and Using Context, Context 2013, Annecy, Haute-Savoie, France, 28 October, 2013 (2013).
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  • Kibanov, M., Erdmann, D.J., Atzmueller, M.: How to Select a Suitable Tool for a Software Development Project: Three Case Studies and the Lessons Learned. In: Wagner, S. and Lichter, H. (eds.) Software Engineering 2013 - Workshopband. Gesellschaft für Informatik (2013).
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  • Kibanov, M., Atzmueller, M., Scholz, C., Stumme, G.: Evolution of Contacts and Communities in Networks of Face-to-Face Proximity (Extended Abstract). Proc. LWA 2013 (KDML Special Track). University of Bamberg, Bamberg, Germany (2013).
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  • Kibanov, M., Atzmueller, M., Scholz, C., Stumme, G.: On the Evolution of Contacts and Communities in Networks of Face-to-Face Proximity. In: Guerrero, J.E. (ed.) Proceedings of the 2013 IEEE Cyber, Physical and Social Computing, CPSCom 2013, Beijing, China, 20-23 August, 2013. p. 993--1000. IEEE Computer Society, Los Alamitos, CA, USA (2013).
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  • Mitzlaff, F., Atzmueller, M., Stumme, G., Hotho, A.: On the Semantics of User Interaction in Social Media (Extended Abstract). Proc. LWA 2013 (KDML Special Track). University of Bamberg, Bamberg, Germany (2013).
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  • Scholz, C., Atzmueller, M., Stumme, G.: Analyzing the Predictability of Human Contacts: On Influence Factors and Stronger Ties (Extended Abstract). Proc. LWA 2012 (KDML Special Track). University of Dortmund, Dortmund, Germany. (2012).
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  • Kibanov, M.: Untersuchung von Versionsverwaltungssystemen mit Zielsetzung der Optimierung der kollaborativen Entwicklung, (2012).
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  • Atzmueller, M., Becker, M., Doerfel, S., Kibanov, M., Hotho, A., Macek, B.-E., Mitzlaff, F., Mueller, J., Scholz, C., Stumme, G.: Ubicon: Observing Social and Physical Activities. Proceedings of the 2012 IEEE International Conference on Cyber, Physical and Social Computing, CPSCom 2012, Besançon, France, 20-23 November, 2012. pp. 317-324. IEEE Computer Society, Los Alamitos, CA, USA (2012).
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  • Atzmueller, M., Benz, D., Hotho, A., Stumme, G.: Towards Mining Semantic Maturity in Social Bookmarking Systems. In: Passant, A., Fernández, S., Breslin, J., and Bojārs, U. (eds.) Proceedings of the 4th international workshop on Social Data on the Web (SDoW2011) (2011).
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  • Hotho, A., Stumme, G.: From Semantic Web Mining to Social and Ubiquitous Mining - A Subjective View on Past, Current, and Future Research. In: Fensel, D. (ed.) Foundations for the Web of Information and Services. pp. 143-153. Springer (2011).
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  • Atzmüller, M., Benz, D., Doerfel, S., Hotho, A., Jäschke, R., Macek, B.E., Mitzlaff, F., Scholz, C., Stumme, G.: Enhancing Social Interactions at Conferences. it - Information Technology. 53, 101-107 (2011).
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  • Mitzlaff, F., Atzmueller, M., Benz, D., Hotho, A., Stumme, G.: Structure and Consistency: Assessment of Social Bookmarking Communities. Proceedings from Sunbelt XXXI. , Trade Winds Beach Resort (2011).
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  • Atzmüller, M., Benz, D., Doerfel, S., Hotho, A., Jäschke, R., Macek, B.-E., Mitzlaff, Folke, C.S., Stumme, G.: Enhancing Social Interactions at Conferences. it - Information Technology, (53)3:101--107, Oldenbourg Wissenschaftsverlag GmbH, May 2011. (2011).
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  • Atzmüller, M., Benz, D., Doerfel, S., Hotho, A., Jäschke, R., Macek, B.E., Mitzlaff, F., Scholz, C., Stumme, G.: Enhancing Social Interactions at Conferences. it - Information Technology. 53, 101--107 (2011).
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  • Körner, C., Benz, D., Hotho, A., Strohmaier, M., Stumme, G.: Social Bookmarking Systems: Verbosity Improves Semantics. Proceedings of INSNA Sunbelt XXX. , Riva del Garda Fierecongressi, Trento, Italy (2010).
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  • Mitzlaff, F., Atzmueller, M., Benz, D., Hotho, A., Stumme, G.: Community Assessment using Evidence Networks. Proceedings of the Workshop on Mining Ubiquitous and Social Environments (MUSE2010). , Barcelona, Spain (2010).
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  • Benz, D., Hotho, A., Jäschke, R., Stumme, G., Halle, A., Lima-Gerlach, A.S., Steenweg, H., Stefani, S.: Academic Publication Management with PUMA - collect, organize and share publications. Proceedings of the 14. European Conference on Research and Advanced Technology for Digital Libraries. pp. 417-420. (2010).
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  • Hotho, A., Benz, D., Eisterlehner, F., Jäschke, R., Krause, B., Schmitz, C., Stumme, G.: Publikationsmanagement mit BibSonomy -- ein Social-Bookmarking-System für Wissenschaftler. HMD -- Praxis der Wirtschaftsinformatik. Heft 271, 47-58 (2010).
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  • Hotho, A., Benz, D., Eisterlehner, F., Jäschke, R., Krause, B., Schmitz, C., Stumme, G.: Publikationsmanagement mit BibSonomy - ein Social-Bookmarking-System für Wissenschaftler. HMD - Praxis der Wirtschaftsinformatik. 271, 47--58 (2010).
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  • Benz, D., Hotho, A., Jäschke, R., Stumme, G., Halle, A., Lima-Gerlach, A.S., Steenweg, H., Stefani, S.: Academic Publication Management with PUMA - collect, organize and share publications. Proceedings of the 14. European Conference on Research and Advanced Technology for Digital Libraries. pp. 417-420 (2010).
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  • Benz, D., Hotho, A., Stumme, G.: Semantics made by you and me: Self-emerging ontologies can capture the diversity of shared knowledge. Proceedings of the 2nd Web Science Conference (WebSci10). , Raleigh, NC, USA (2010).
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  • Hotho, A., Stumme, G.: Mining the World Wide Web. Künstliche Intelligenz. 5-8 (2007).
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  • Catutto, C., Schmitz, C., Baldassarri, A., Servedio, V.D.P., Loreto, V., and Andreas Hotho,, Grahl, M., Stumme, G.: Network Properties of Folksonomies. AI Communications Journal, Special Issue on "Network Analysis in Natural Sciences and Engineering". (2007).
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  • Stumme, G., Ehrig, M., Handschuh, S., Hotho, A., Maedche, A., Motik, B., Oberle, D., Schmitz, C., Staab, S., Stojanovic, L., Stojanovic, N., Studer, R., Sure, Y., Volz, R., Zacharias, V.: The Karlsruhe view on ontologies. University of Karlsruhe, Institute AIFB (2003).
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  • Ehrig, M., Handschuh, S., Hotho, A., Maedche, A., Motik, B., Oberle, D., Schmitz, C., Staab, S., Stojanovic, L., Stojanovic, N., Studer, R., Stumme, G., Sure, Y., Tane, J., Volz, R., Zacharias, V.: KAON - Towards a large scale Semantic Web. In: Bauknecht, K., Tjoa, A.M., and Quirchmayr, G. (eds.) Proc. E-Commerce and Web Technologies, Third International Conference, EC-Web 2002. Springer, Aix-en-Provence %, France (2002).
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